The Unsung Heroes Of Machine Learning Are In Data Operations

When most people think about deep learning practitioners, they think of data scientists who whisper to machine learning models using special powers they learned during their PhDs. While that may be true for some organizations, the reality of most practical deep learning applications is more banal. The biggest determinant of model performance is now the data, not the model code. And when data is supreme, data operations becomes the most important part of your ML team. Fundamentally, data operations teams are responsible for the maintenance and improvement of the datasets that models train on.